At ELC Annual, we prioritize deep conversations & meaningful connections over everything else. Through an interactive & immersive experience each attendee will have the chance to engage with others through intimate, curated sessions ranging from 1:1 meetings to peer learning groups, and collaborative roundtables to classroom-style speaking sessions.
What works today may not work tomorrow – and that includes your org structure. Whether your business is adapting to external trends or company-led initiatives, engineering groups are often the largest group impacted by a reorg, so it’s important to get it right. Reorgs are hard. Some are done too quickly. Some are done too slowly. Some should not be done at all.
In the past decade, Atlassian has reorganized around big bets including its cloud transformation and goal to become a $10 billion company. Mike Tria, Head of Engineering at Atlassian, has played a pivotal role in leading several successful (and unsuccessful) reorgs impacting thousands of engineers.
In this session, Mike will share his tips on understanding when a reorg might be needed, how to partner with cross-functional stakeholders, how to plan and communicate an effective reorg, and how to know if you did it right.
In this session, we explore the leadership journey of Cal Henderson and the different ways he had to evolve as “force multiplier” through the different phases and scales at Slack. We cover the early days of eng leadership at Slack, different inflection points / phases & scales at Slack where Cal needed to scale-up or transform his approach to leadership, and how “thinking like an engineer” helped him become a force multiplier for the company. Plus we discuss debugging management (and other topics).
How to combat imposter syndrome and build the project of your dreams. What would you do if you were not afraid? Studies show that women tend to be more cautious and less self-assured than men in their career decisions. Fear of imperfection, being not able to live up to the expectations of the job, or making mistakes is what often holds us back. But growing in your career requires taking risks. Every successful leader has stories about how their failures led to their success, but sometimes we forget that process happens at every stage of our careers, and in every part of the organization as well as outside of it — in our day-to-day lives. In this session, our panelists — influential women leaders in tech — will talk about how overcoming fears, accepting risks, and making bolder moves have helped them excel in their careers.
The last two years have been monumental in terms of the impact current events have had on modern business. But even before the impetus of COVID-19, there was already a more fundamental transformation taking place with the rise of the developer. Every industry is turning digital, and every company needs the best software to win the hearts and minds of customers.
Join us for a discussion with Navin Chaddha, Managing Director at Mayfield, Dheeraj Pandey, Co-Founder & CEO at DevRev and former Founder, CEO & Chairman at Nutanix, and Nikil Viswanathan, Co-Founder & CEO at Alchemy for a discussion on dev-first, product-led growth, and web3 trends. What kinds of platforms and business models are thriving in today’s modern cloud-first companies? Where do developers come into the picture? And what will lead the way tomorrow?
According to Gartner, only 53% of machine learning proofs of concept (POC) are ever scaled to production. Even fewer manage to deliver the intended and measurable business value. On the bright side, Gartner projects that by 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a 5x increase in streaming data and analytics infrastructures.
Machine learning ops (ML Ops) is a practice and methodology for preparing, deploying and managing machine learning models in production. Productizing ML Ops is hard, but in reality, it’s a requirement for AI scalability and success.
In this Q&A session, Sapta Girisa, Senior Director at Lohika and Capgemini Engineering will discuss key considerations for ML Ops, why it’s essential to AI scalability and how to accelerate your AI engineering.
Building for enterprise customers is typically complex, time-consuming and can distract your team for weeks, months, or even years. Important deals can slip through your fingers as your grapple with strict requirements and demands from Enterprise IT admins. Learn more about what it means for your product to be "Enterprise Ready" with features like SSO and Audit Logs.
This session covers the career journey of Sri Viswanath, General Partner at Coatue and previous CTO of Atlassian, from engineering leader to venture and the lessons he’s learned along the way. Sri will share stories of the pivotal learning moments from his early career navigating the transition from IC to executive leadership, and insights from leading across small and large scale companies. He will also discuss how he translated his experience as an engineering leader into a career as a venture investor - and what you can do now to prepare yourself for a successful transition into a career in investing.